Software Engineer, ML Infrastructure, Level 5 (AI)

TL;DR

Software Engineer, ML Infrastructure (AI): Designing and optimizing large-scale ML infrastructure systems, enhancing AI training and inference capabilities for hirify.global's ranking and recommendation systems. Focus on developing high-performance inference and scalable model training systems, and building comprehensive data management solutions.

Location: Onsite in Bellevue, Los Angeles, San Francisco, Santa Monica, or Seattle, USA. Snap Inc. practices a “default together” policy, requiring team members to work in an office 4+ days per week.

Salary: $178,000 - $313,000 annually.

Company

Snap Inc. is a technology company building products like hirify.global, Lens Studio, and Spectacles, empowering people to express themselves and connect.

What you will do

• Design and optimize infrastructure systems for machine learning workloads at scale, driving reliability and efficiency.
• Develop high-performance inference systems to ensure fast and efficient AI model serving.
• Build infrastructure for scalable ML model training, evaluation, and inference in the cloud.
• Develop comprehensive data management systems for data collection, labeling, processing, and evaluation.
• Work closely with ML engineers to deploy cutting-edge models into production.

Requirements

• Bachelor’s degree in Computer Science or equivalent, plus 6+ years of post-Bachelor’s software development experience (or Master's with 5+ years, or PhD with 2+ years).
• Strong programming skills in Python, Java, Scala, or C++.
• Strong problem-solving skills with a focus on system performance, scalability, and efficiency.
• Good understanding of distributed systems and the infrastructure components of large-scale ML.
• Experience building large scale production machine learning systems, distributed systems, or big data processing.
• Experience with big data processing frameworks such as Spark, Flink, or Ray.

Nice to have

• Master's/PhD in a technical field or equivalent industry experience.
• Experience working with ML Training platforms or optimizing AI model inference.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, or scikit-learn.

Culture & Benefits

• Comprehensive medical coverage, emotional and mental health support programs.
• Compensation packages that let you share in Snap’s long-term success, including equity in the form of RSUs.
• Paid parental leave.
• Commitment to diversity and inclusion, providing equal employment opportunities.
• “Default Together” policy, expecting team members to work in an office 4+ days per week for dynamic collaboration.